Instructions to use RajuEEE/TRL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RajuEEE/TRL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("gpt2-large") model = PeftModel.from_pretrained(base_model, "RajuEEE/TRL") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from RajuEEE/TRL: direct link, hf CLI and curl.
- Browser
- Download file 11.8 MB
-
https://huggingface.co/RajuEEE/TRL/resolve/main/adapter_model.bin
- Command line
-
hf download hf://RajuEEE/TRL/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/RajuEEE/TRL/resolve/main/adapter_model.bin
11.8 MB
- Xet hash:
- 5034be0e643c42db8d34a9ed1d301e4a0f24ef264921f444f21c74e6bfcf8cae
- Size of remote file:
- 11.8 MB
- SHA256:
- 35d573d6c7d13f81d4da603043906b58046fc6951af44782e2c780233a944010
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